view atlases

from nilearn import datasets, plotting

from netneurotools.datasets import fetch_schaefer2018
import numpy as np
import nibabel

## get underlays:

fsaverage = datasets.fetch_surf_fsaverage('fsaverage')
fsaverage5 = datasets.fetch_surf_fsaverage()

overlay = np.split(r.glasser2016_fsaverage['data'], 2)

plotting.view_surf(
    fsaverage['infl_left'], overlay[0], cmap = "prism", symmetric_cmap = False,
    title = "glasser 2016, fsaverage, left"
)

plotting.view_surf(
    fsaverage['infl_right'], overlay[1], cmap = "prism", symmetric_cmap = False,
    title = "glasser 2016, fsaverage, right"
)

overlay5 = np.split(r.glasser2016_fsaverage5['data'], 2)

plotting.view_surf(
    fsaverage5['infl_left'], overlay5[0], cmap = "prism", symmetric_cmap = False,
    title = "glasser 2016, fsaverage5, left"
)

plotting.view_surf(
    fsaverage5['infl_right'], overlay5[1], cmap = "prism", symmetric_cmap = False,
    title = "glasser 2016, fsaverage5, right"
)